Association between phase angle and body composition: New equations to predict fat mass and skeletal muscle mass

The new regression equations, which include the PhA as a bioelectrical parameter, can accurately predict DXA-derived FM% and SMM% in a heterogeneous Caucasian population, and are better options than the manufacturer's equations.

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Publication Details

Journal
Nutrition
Published
2025-03-17
DOI
https://doi.org/10.1016/j.nut.2025.112772
Citations
3
Primary Topic
Body Composition Measurement Techniques
Type
article
Field-Weighted Citation Impact
3.49
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article

Association between phase angle and body composition: New equations to predict fat mass and skeletal muscle mass

Francisco José Berral de la Rosa, Daniel Rojano Ortega, Antonio Jesús Berral-Aguilar, Antonio Molina-López et al.
3 citations
Nutrition
Body Composition Measurement Techniques
3.49
article

Association between phase angle and body composition: New equations to predict fat mass and skeletal muscle mass

Francisco José Berral de la Rosa, Daniel Rojano Ortega, Antonio Jesús Berral-Aguilar, Antonio Molina-López, Heliodoro Moya-Amaya
article en
3 citations

Abstract

The new regression equations, which include the PhA as a bioelectrical parameter, can accurately predict DXA-derived FM% and SMM% in a heterogeneous Caucasian population, and are better options than the manufacturer's equations.

NutritionVol. 135
Universidad Pablo de Olavide (ES)
Zero hunger
Openalex Percentile: Top 9%
Body Composition Measurement Techniques
3.49
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Association between phase angle and body composition: New equations to predict fat mass and skeletal muscle mass — Francisco José Berral de la Rosa, Daniel Rojano Ortega, et al. · Nutrition (2025) | TGRS Research Map | TGRS